The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

The End of the Internet?

Political Currents by Ross Barkan • 9 implied HN points • 29 Feb 24
🕹 Technology AI
  1. The internet is deeply ingrained in our daily lives and will likely continue until our lifetimes.
  2. Artificial Intelligence is transforming the internet experience, with concerns about fake content and the impact on various professions.
  3. AI may bring about significant changes in human history, but there are uncertainties regarding its effects on industries and the economic sustainability of AI companies.

Want To Know How To Calculate Your Enterprise AI Usage? You Can't!

Theology • 3 implied HN points • 26 Jan 25
🕹 Technology AI
  1. Different AI services have complicated pricing models that make it hard to budget. This can lead to unexpected costs every month.
  2. It's tough to compare different AI vendors since their pricing isn't standardized. You might not even know if you're paying for the same features with different companies.
  3. Trying to manage multiple AI platforms can be a headache. In the end, the savings you expect might vanish due to the effort needed to track everything.

AI Agents: You Can't Have an Orchestra Without A Conductor

Theology • 3 implied HN points • 26 Jan 25
🕹 Technology AI
  1. To effectively use AI agents in a business, you need a 'Conductor' to coordinate them. Just like an orchestra needs a conductor to keep everything in sync, businesses need someone to ensure AI agents work well together.
  2. Having multiple AI agents can get messy without proper management. You need defined rules and processes so these agents know their roles and responsibilities to avoid chaos.
  3. Using AI can be complicated and can incur costs you might not expect. It's important to be able to track and manage these costs separately to understand if you're really saving money compared to hiring people.

20241124

Curious futures (KGhosh) • 4 implied HN points • 24 Nov 24
🕹 Technology AI
  1. Leonardo da Vinci was very curious and used his knowledge from different fields to understand the world better. He wasn't just a jack-of-all-trades but saw how art and science worked together.
  2. The development of AI is changing how we interact with technology. There are concerns about deep fakes and the need for tools that can verify if something is real or made by AI.
  3. Understanding the risks in our world, such as those identified by the EU, is important for preparing for the future. These risks can affect everyone, so awareness is key.
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New Week #118

New World Same Humans • 17 implied HN points • 07 Apr 23
🕹 Technology AI
  1. Meta introduced a new AI model for image segmentation, paving the way for advances in machine vision applications.
  2. Japan is facing a significant labor shortage, with a forecast of 11 million fewer workers by 2040 due to an aging population.
  3. Bloomberg unveiled a large language model specialized for finance, showcasing the power of domain-specific AI models for unlocking insights from vast amounts of data.

Who's Who in A.I.

Gradient Ascendant • 18 implied HN points • 01 Mar 23
🕹 Technology AI
  1. OpenAI is a major player in the AI industry, led by controversial figures like Elon Musk.
  2. Microsoft has made a comeback in the AI field through partnerships and investments, notably with OpenAI.
  3. An increasingly vibrant AI ecosystem is emerging with startups, enthusiasts, and established companies all contributing to the field.

Grant Orb: Your Expert AI Grant Writer

Crypto Good • 9 implied HN points • 25 Feb 24
🕹 Technology AI
  1. Grant Orb is an AI grant writer that can create winning grant proposals in minutes with just a brief project outline, saving up to 95% of your time.
  2. AI is transforming the nonprofit sector by making grant writing more efficient and accessible to organizations of all sizes.
  3. Generative AI technology like Grant Orb can quickly and intelligently create compelling grant proposals, allowing organizations to focus more on their mission and fundraising goals.

CUAs Can Become APIs

The API Changelog • 3 implied HN points • 31 Jan 25
🕹 Technology AI
  1. CUAs, or Computer-Using Agents, can perform tasks on computers like humans do. They are designed to help with tasks even when normal APIs are unavailable.
  2. As CUAs can act on your behalf after initial help, they can eventually work automatically. Their ability to do this raises questions about how much control we want to give them.
  3. Making CUAs available as APIs is technically simple. This opens up many questions about what tasks should be accessible and who gets to use them.

Pippa Passes: Wet Brains vs Dry AI, Novelty, Babies, Tik Tok, Einstein Tiles, Assemblages and Grandma's Revenge

Dr. Pippa's Pen & Podcast • 17 implied HN points • 30 Mar 23
🕹 Technology AI
  1. Humans excel at novelty and lateral thinking, different from AI's linear problem-solving.
  2. The human brain can discover unique solutions through experimentation and playfulness that AI may struggle with.
  3. Emotions and creativity make humans superior at generating novelty compared to AI, highlighting the value of human experiences like relationships and procreation.

I Know I'm Not Supposed to Use AI, But This Was The Best Conversation I've Had In A Long Time; Is That The Problem?

As If We Were Staying • 3 implied HN points • 02 Feb 25
🕹 Technology AI
  1. Using AI can be a helpful tool for deep conversations, but it shouldn't replace real human interactions. It's important to find a balance so we don’t lose the richness of personal relationships.
  2. AI can optimize energy usage and processes, but there's a risk it might outgrow our control. We need to think carefully about how we integrate AI into our lives to ensure it's used for good.
  3. A good approach may be to develop a symbiotic relationship with AI. This means leveraging its strengths while still valuing the unique qualities humans bring to interactions and decision-making.

Data Science Weekly - Issue 399

Data Science Weekly Newsletter • 19 implied HN points • 15 Jul 21
🕹 Technology AI
  1. Data for good initiatives aim to use data positively but often face disconnects. It's important to understand what these initiatives do and how they differ from one another.
  2. Peer reviews in data science can improve project outcomes, but they may not go as planned in real situations. Learning from what works and what doesn’t is key to improving the process.
  3. Amazon collects a lot of user data through various services, which many people might not be aware of. Understanding privacy policies is important to know how your data is used.

How to train your GPT 🤖

Year 2049 • 11 implied HN points • 17 Nov 23
🕹 Technology AI
  1. OpenAI introduced custom GPTs, allowing users to publish and monetize their own versions on the ChatGPT platform.
  2. When building a custom GPT, focus on giving it a clear action-based identity to avoid it drifting from its purpose.
  3. Simplify the knowledge transfer process, write helpful conversation starters, and gracefully handle questions your GPT may not have answers to.

The AI-risk of a synthetic Theory of Mind

GOOD INTERNET • 17 implied HN points • 29 Mar 23
🕹 Technology AI
  1. The AI community is calling for a pause on large AI experiments to address potential risks.
  2. Developments in AI, like GPTX and LLMs, have the potential to disrupt industries and impact human psychology.
  3. There is a concern that AI systems could manipulate human cognition by simulating language use and becoming integrated into our social wiring.

#46

The Nibble • 9 implied HN points • 11 Feb 24
🕹 Technology AI
  1. The Vesuvius Challenge unveiled the deciphered text from ancient scrolls damaged during Mount Vesuvius' eruption in 79 AD.
  2. A significant Deepfake scam in China resulted in a $25 million heist, prompting suggestions for enhanced security measures.
  3. Notable tech events included Google retiring cache links, new VS Code speech capabilities, and Arc's transition to Arc Sync without iCloud dependency.

Does Github CoPilot increase developer productivity?

Brick by Brick • 9 implied HN points • 07 Feb 24
🕹 Technology AI
  1. Microsoft reported significant growth with GitHub CoPilot, reflecting high adoption and productivity among developers
  2. An experiment showed developers using CoPilot completed tasks 55.8% faster, raising questions about generalizability
  3. Assessing the true impact of CoPilot on productivity requires rigorous experiments tailored to individual engineering organizations

Is the next crunch in the AI race the lack of data center space?

danvdb • 1 HN point • 26 Feb 24
🕹 Technology AI
  1. The AI industry might face a shortage of data center space with the increase in NVIDIA H100 GPUs.
  2. The energy consumption from the forecasted 4.5 million H100 GPUs in 2023/24 could exceed the data center capacity, posing a challenge.
  3. Existing data centers may struggle to retrofit the necessary equipment and manage the power demands of the upcoming surge in GPU servers.

Timelines, Whales, and Breaches

Cybernetic Forests • 19 implied HN points • 08 Feb 21
🕹 Technology AI
  1. History, like whale watching and birdwatching, often focuses on what surfaces and misses what is beneath, encouraging a shift in perspective to capture unseen elements.
  2. Imagination plays a critical role in shaping both technology and history, requiring us to consider the interplay between predicting the future and understanding the past.
  3. Art, storytelling, and imagination provide tools to delve beneath the surface of technological advancements and societal impacts, offering a different lens to interpret complex systems like AI and nature.

The Future of Large Scale Open Source AI

Chaos Engineering • 3 implied HN points • 19 Jan 25
🕹 Technology AI
  1. Kubeflow is an important open-source tool for making AI and machine learning easier and more scalable. It helps developers build and manage their AI projects more effectively.
  2. The Steering Committee aims to increase the use of Kubeflow by collaborating with companies and improving user-friendly features. They want to ensure that more people can use and enjoy the platform.
  3. Open-source AI tools are becoming very important as the technology grows. Focus on building strong communities and good support will help everyone succeed in using AI effectively.

Clouded Judgement 1.30.25 - The Year of AI Applications

Clouded Judgement • 3 implied HN points • 31 Jan 25
🕹 Technology AI
  1. 2025 is expected to be a big year for AI applications because the costs of using AI are going down. This means businesses can try out more AI features without worrying about high costs.
  2. As the cost to use AI tools decreases, companies are likely to innovate more. This could lead to exciting new applications and services that impress users.
  3. SaaS businesses are usually valued on their revenue, and understanding these revenue multiples helps compare companies. As companies grow, their market value can change based on how they manage their costs and profits.

Future Bites #4

Year 2049 • 17 implied HN points • 17 Mar 23
🕹 Technology AI
  1. GPT-4 is a powerful AI model that can process text and images, but has limitations
  2. Google and Microsoft are incorporating AI into their office apps, reshaping how we work
  3. The Netherlands transitioned into a biking-friendly country for public safety, health, and the environment

Lessons from Creating a VSCode Extension with GPT-4

Bit by Bit • 15 implied HN points • 25 May 23
🕹 Technology AI
  1. GPT-4 can generate code with a naive prompt, but may introduce bugs due to outdated knowledge
  2. GPT-4 is good for scaffolding boilerplate code, but domain expertise is still crucial
  3. GPT-4 can create an abstract programming layer, adding complexity in software development

Data Science Weekly - Issue 397

Data Science Weekly Newsletter • 19 implied HN points • 01 Jul 21
🕹 Technology AI
  1. AI-generated art is gaining popularity, allowing artists to create visuals by simply using text prompts. This makes art creation more accessible and experimental.
  2. Understanding and mitigating biases in AI is crucial for developers. There's a focus on practical steps to limit biases during various stages of AI development.
  3. Preparing for machine learning job interviews can be simplified with resources that outline essential skills, questions, and the overall interview process. This helps candidates present themselves better.

20241110

Curious futures (KGhosh) • 4 implied HN points • 10 Nov 24
🕹 Technology AI
  1. The era of traditional bosses is fading. People now want leaders who can guide and mentor them instead.
  2. Cybersecurity is becoming more important as technology evolves. There are new risks like deepfakes and cyberattacks that need attention.
  3. Innovation is happening with technology and the environment. New ideas, like using mushrooms in robotics, show how we can combine nature and tech.

Issue #135: Robinhood Launches Election Contracts, NVIDIA Tackles Fraud, And Moniepoint Joins the Unicorn Club

Fintech Radar • 4 implied HN points • 06 Nov 24
💰 Finance AI
  1. Robinhood has launched contracts for betting on the U.S. presidential election, allowing users to trade on candidates like Kamala Harris and Donald Trump. This move taps into the growing interest in prediction markets during election cycles.
  2. Hong Kong has introduced a framework for AI in finance to ensure responsible use, data privacy, and collaboration with universities. This trend might inspire other markets to set similar guidelines for AI in financial services.
  3. NVIDIA is now using AI to detect fraudulent credit card transactions in real-time. This development shows how AI is making it easier for companies outside of traditional finance to tackle fraud prevention.

#25

The Nibble • 12 implied HN points • 17 Sep 23
🕹 Technology AI
  1. A new JS framework called Bun v1.0 is live and making waves.
  2. Apple's recent annual event highlighted sustainability efforts in their products.
  3. Unity's new fee structure is causing uproar among game developers.

Ultimate Visual Brainstorming with DALL•E 3 and ChatGPT

Year 2049 • 11 implied HN points • 03 Nov 23
🕹 Technology AI
  1. Ultimate Visual Brainstorming with DALL•E 3 and ChatGPT combines text and image generation for creative processes
  2. The power of preserving context in AI conversation leads to efficient and iterative design processes
  3. AI tools like ChatGPT can help quickly generate designs, logos, storyboards, and more, enhancing creativity

The Rise of Perspective Agents

Perspective Agents • 12 implied HN points • 07 Sep 23
🕹 Technology AI
  1. Generative AI is revolutionizing the creation of digital content.
  2. The emergence of perspective agents is reshaping perceptions and behaviors.
  3. Open-source intelligence is democratizing access to information and shaping public understanding of global events.

DeepMind's 3D Gaming AI, Pixel 9's Tensor G4 Chipset, Covariant's Robot Revolution, & More

HackerPulse Dispatch • 8 implied HN points • 15 Mar 24
🕹 Technology AI
  1. Google DeepMind introduced SIMA, an AI agent trained in multiple video games capable of following natural-language instructions, showcasing the potential for adaptable AI systems.
  2. Covariant unveiled RFM-1, an AI platform enabling robots to comprehend language and make decisions, promising advancements in robotic cognition for various industries.
  3. Google's upcoming Pixel 9 series will feature the Tensor G4 chipset, enhancing user experience with improved heat and power management, aligning with Google's vertical integration goals.

Data Science Weekly - Issue 394

Data Science Weekly Newsletter • 19 implied HN points • 10 Jun 21
🕹 Technology AI
  1. The data economy often harms our privacy as companies gather personal information for profit. It's important to think about how our data is used.
  2. New AI technologies, like deep reinforcement learning, can improve tasks like chip design significantly faster than traditional methods. This shows how AI can change engineering jobs.
  3. Data monitoring is crucial for machine learning applications. It helps ensure that models perform well and meet the needs of companies.

20241103

Curious futures (KGhosh) • 4 implied HN points • 03 Nov 24
🕹 Technology AI
  1. You can create a personal AI assistant that checks your investment data. This AI can find clues about whether your investments will succeed or fail.
  2. AI can look at both funded startups and those you didn’t choose to find new investment opportunities. It helps you make smarter choices based on market trends.
  3. Using AI is transforming many areas, including business and life. It's changing how companies operate and even impacting job roles in various sectors.

Pricing Roundup: AI Pricing is Everywhere

Good Better Best • 1 implied HN point • 25 Jul 25
💼 Business AI
  1. Introducing Private Questions lets users ask pricing questions directly and get answers from experts. It's a useful way to get help when you need it most.
  2. Clear communication about pricing changes is essential to avoid backlash from customers. If people don't fully understand new pricing models, it can lead to frustration and confusion.
  3. Bundling features into existing pricing plans can be smart for companies, but it may also upset customers who feel their choices are limited. Balancing value with customer control is key.

#23

The Nibble • 12 implied HN points • 02 Sep 23
🕹 Technology AI
  1. Microsoft plans to bring AI capabilities to Paint and Photos app on Windows 11.
  2. Reliance showcased JioFiberAir, providing high-speed internet without wires for high-paying households.
  3. Domains, like Anguilla's .ai, are becoming valuable assets in the digital world.

Musk’s Legal Drama, OpenAI’s Sassy Comeback, Talk-to-ChatGPT's Special & More

HackerPulse Dispatch • 8 implied HN points • 08 Mar 24
🕹 Technology AI
  1. Elon Musk sues OpenAI over claims of prioritizing profit over public interest in developing AGI tech.
  2. OpenAI responds to Musk's legal action, highlighting their commitment to building widely-available AI tools for various sectors like healthcare and language preservation.
  3. Significant advancements in AI technology include Anthropic's introduction of the Claude 3 Model Family and OpenAI's new feature allowing ChatGPT responses to be read aloud.

How to build simple AI apps with no code

Year 2049 • 11 implied HN points • 13 Oct 23
🕹 Technology AI
  1. You can use a simple AI tool called Artificial Tales to create unique and engaging short stories for kids.
  2. To build your own AI app with Imagica, you need to create input nodes, combine them to create outputs, and customize your app.
  3. AI tools like Imagica allow you to experiment and create AI apps without the need for coding.